
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "127"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 91 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 87 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.068856	-0.416255	2.804788	3.577862	2.363927	1.513222	2.333101	3.029964	0.7769	0.7866	0.2428	18.735436	18.740453
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.204034	1.241213	4.769162	4.061076	1.241730	0.856513	0.340713	-0.093510	0.7033	0.6954	0.2374	7.007607	6.979126
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.088119	-1.237063	0.738855	-0.022318	-0.015193	-0.111593	1.928979	-0.098137	0.0322	0.0569	0.0016	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	342.640424	348.267674	inf	inf	30.838169	74.885076	147.326703	876.656616	nan	nan	nan	0.000000	0.000000
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.537193	-0.054179	4.713028	4.504104	4.124894	2.194529	0.156479	-0.272072	0.6426	0.6529	0.3389	7.252952	7.360872
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.908970	0.073463	3.501636	3.784605	0.719004	1.053127	1.247099	0.875375	0.6918	0.6912	0.2672	8.498757	8.140879
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.219215	-1.166853	5.641996	5.128245	0.890221	0.890399	0.671591	0.305079	0.7427	0.7249	0.2191	12.118937	10.976174
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1.182735	-0.171437	9.418462	7.857039	7.524165	7.460046	4.096835	5.275808	nan	nan	nan	15.270997	17.065801
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.081234	-0.119821	0.876696	0.346198	3.254636	0.415062	0.072102	-0.249566	0.6485	0.6566	0.3248	5.815767	5.474717
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	7.561806	1.678664	3.950514	1.494215	1.361210	-0.581684	4.113567	0.484272	0.0342	0.0643	0.0018	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.733559	1.460327	20.796034	11.958133	51.583594	47.130074	-0.594687	-0.521512	0.5718	0.5900	0.3364	9.107029	8.971633
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.962112	1.420851	19.453321	15.082345	-0.149437	-0.042382	-0.359970	-0.206289	0.6072	0.6358	0.3484	4.686372	5.375929
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.851590	1.181806	17.223226	13.722182	-0.614103	0.011614	-0.435905	-0.190844	0.6141	0.6404	0.3531	4.244740	5.118975
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.689717	1.840436	19.772353	15.024572	-0.603041	0.269893	-0.199985	-0.162920	0.6106	0.6374	0.3598	4.035436	5.317823
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.996111	1.179439	19.658252	15.476699	-0.754073	0.296254	-0.595316	-0.302936	0.6201	0.6451	0.3518	5.441030	6.254196
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.033033	1.337909	22.611740	18.160118	-0.263530	0.151175	0.216940	0.556947	0.6130	0.6392	0.3571	5.440810	6.065260
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.300039	0.232056	2.239789	1.370331	-0.218782	-0.032470	-0.611926	-0.517886	0.0376	0.0698	0.0034	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.763591	2.134933	18.241886	14.126461	-0.469908	1.066408	-0.379426	-0.142024	0.6102	0.6352	0.3575	4.006339	5.584165
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.375843	1.670217	14.223307	11.304402	0.025426	1.597289	0.098319	0.398022	0.6445	0.6666	0.3538	6.544255	7.720441
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.539196	-0.704374	13.737071	10.971319	17.210804	11.614783	28.410329	18.341494	0.7265	0.7451	0.2921	8.375953	11.497434
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.756877	0.358521	13.785870	10.871035	-0.348220	0.984000	0.870186	-0.085388	0.6433	0.6704	0.3514	4.441426	5.489216
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.990223	1.144110	24.370674	19.019627	-0.662276	0.328553	-0.191751	0.523436	0.6276	0.6586	0.3571	5.663562	6.270539
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.721214	1.240545	13.719809	10.829631	-0.460694	0.334519	0.678864	1.327666	0.6345	0.6598	0.3566	6.093407	7.880881
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	131.421660	302.379532	inf	inf	239448.175356	-632564.694164	132048.846625	-348878.114600	nan	nan	nan	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.699802	0.138196	15.773667	12.523260	25.917641	17.788675	24.671735	19.883530	0.7392	0.7536	0.2129	6.329048	6.548850
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.838786	0.172262	18.421052	14.303359	-0.544327	0.705871	-0.504953	-0.374415	0.6267	0.6546	0.3690	4.200691	4.990803
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.059218	1.059218	0.968690	0.968690	-0.627210	-0.627210	-0.758470	-0.758470	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.994327	0.016506	5.204879	4.319251	2.753200	0.427774	3.493725	0.063560	0.6689	0.6798	0.3637	5.031909	5.448128
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.849759	0.781782	9.551637	7.512850	0.180372	0.745592	1.836039	1.029094	0.6399	0.6690	0.3619	3.267389	4.082239
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.740155	0.381252	9.321560	7.234955	-0.088009	0.644796	2.568386	1.052695	0.6421	0.6766	0.3589	3.186831	3.988602
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.001097	0.510298	9.557798	7.285645	0.611859	0.552234	1.722518	0.372865	0.6328	0.6623	0.3713	3.403944	3.877009
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.102954	1.038316	10.042267	7.723643	0.942319	0.625541	1.672595	0.843437	0.6407	0.6689	0.3547	3.071330	3.527513
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.690990	0.080915	19.525978	15.372847	-0.450777	0.341883	0.545005	0.543341	0.6378	0.6680	0.3636	5.924657	7.182589
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0349	0.0727	0.0031	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.844224	0.485340	20.685695	16.539470	0.361093	1.140407	2.637468	2.320045	0.6368	0.6626	0.3626	5.590863	6.678217
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6471	0.6711	0.3722	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6481	0.6708	0.3694	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.117472	0.911193	27.253697	20.966988	-0.179466	0.523634	1.344937	0.514108	0.6503	0.6729	0.3686	4.118525	4.972133
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.750315	0.493487	11.162692	8.712170	0.851135	0.781699	0.686591	0.827407	0.6367	0.6647	0.3691	3.432194	4.056156
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0456	0.0651	0.0027	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.918255	0.075840	20.957009	16.288609	0.493912	0.592368	1.009893	0.302702	0.6380	0.6701	0.3752	3.914662	4.643179
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.156570	0.689582	11.523882	9.573148	9.315451	8.086110	-0.308313	-0.042178	0.7328	0.7412	0.3356	4.548824	4.705219
2459541	RF_maintenance	100.00%	1.34%	1.79%	0.00%	100.00%	0.00%	0.696748	-0.421868	22.885567	18.088820	51.716120	40.002960	25.158375	20.608462	0.7070	0.7167	0.3063	4.512055	5.577953
2459540	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.095379	0.572532	9.748168	7.640685	0.009952	0.044316	1.323877	2.029778	0.7020	0.7219	0.3192	3.361389	4.250024
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.361789	2.125702	34.812761	27.186078	0.442328	3.050319	0.623865	0.489983	0.1125	0.0972	0.0183	0.000000	0.000000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.831888	0.364258	9.093707	7.023454	1.364405	-0.283942	1.234341	0.058956	0.1120	0.1007	0.0179	0.000000	0.000000
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.605081	0.044464	8.771813	6.699298	-0.950946	-0.310077	-0.042476	-0.284448	0.1258	0.1096	0.0240	7.940397	5.656153
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.298036	0.365320	20.161561	15.628906	0.208688	0.753981	-0.065221	0.175928	0.1165	0.1066	0.0248	-0.000000	-0.000000
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.293655	0.764113	26.801813	21.211413	1.134793	0.822823	-0.177890	-0.040813	0.1135	0.1033	0.0227	0.000000	0.000000
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.245701	0.591035	8.495676	6.646354	0.127705	0.495504	0.359508	0.104304	0.1229	0.1064	0.0274	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.182697	2.531669	28.022542	21.026713	4.183861	7.691375	-0.284542	0.045715	0.8958	0.9377	0.2964	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	3.163848	-0.024941	30.010207	23.053955	2.608058	1.316353	1.198791	1.383233	nan	nan	nan	11.779772	10.067361
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.108414	1.727161	28.180282	21.923139	0.187747	8.003207	0.812506	0.499917	0.6385	0.7109	0.3399	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.101989	0.340538	2.289758	1.732584	-0.745667	0.044713	-1.136457	-0.669414	0.0449	0.0680	0.0057	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.991581	4.642660	24.062568	17.138103	16.098388	11.277381	29.711922	25.773066	0.9169	0.9632	0.1567	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.473119	1.026607	24.229127	19.537876	0.605927	4.571948	0.197482	0.856184	0.8805	0.8711	0.1865	19.741740	27.501266
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	12.728271	12.158579	34.361208	25.052370	24.858853	27.119578	2.484692	2.538097	0.8732	0.8738	0.4506	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.418417	8.767170	26.400117	19.178285	6.802414	10.541397	0.514079	0.291725	0.8770	0.9166	0.3528	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.032416	11.496623	29.716840	20.693986	12.556823	15.832822	0.267557	0.416219	0.8862	0.9142	0.3443	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	13.602365	13.614197	37.152586	25.843739	14.477832	17.535432	3.605394	5.942056	0.9046	0.9462	0.1692	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.614900	15.162861	31.606892	22.189845	15.720619	18.042003	2.876705	3.181163	0.8950	0.9183	0.3702	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	19.548050	19.194139	33.767828	23.897221	20.829685	23.204447	2.277454	2.596560	0.8974	0.9358	0.3329	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	20.738246	19.569395	31.719439	22.287730	18.076129	20.373811	2.062794	1.782222	0.9189	0.9305	0.3398	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	17.043354	15.891344	29.488965	20.368637	15.440867	17.119407	2.243470	2.243839	0.9166	0.9267	0.3667	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.734940	15.839402	33.217872	22.576123	14.726203	18.261294	7.611437	5.516824	0.9046	0.9170	0.3793	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.125848	2.149063	28.567680	22.821880	2.540646	1.826526	7.571189	3.768335	0.7507	0.8077	0.2886	6.917918	7.014571
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.474837	3.524509	30.342925	24.480289	0.206408	5.445045	3.447185	3.616469	0.7899	0.8204	0.2327	2.708469	2.538299
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.673630	3.347553	31.047570	24.659688	0.053329	2.770465	3.689543	3.074126	0.7399	0.8032	0.3416	5.902726	5.702995
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.446720	2.557327	29.072836	23.475823	1.062883	3.728557	5.369380	2.778826	0.7551	0.8072	0.2899	6.128271	5.748977
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.039637	1.424034	25.367095	20.090118	2.404290	3.917956	3.720407	4.205441	0.7529	0.8091	0.3184	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 127 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 127, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 127: 2459615

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶